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Update app.py
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app.py
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@@ -405,8 +405,10 @@ Generative machine learning models hold great promise for accelerating materials
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initial_df = get_leaderboard()
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cached_df_state = gr.State(initial_df)
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formatted_df = format_dataframe(initial_df[
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initial_df['training_set'].apply(lambda x: 'MP-20' in parse_training_set(x))
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], show_percentage=True, selected_groups=list(METRIC_GROUPS.keys()), compact_view=True)
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leaderboard_table = gr.Dataframe(
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initial_df = get_leaderboard()
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cached_df_state = gr.State(initial_df)
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ALWAYS_SHOW_MODELS = {'AFLOW', 'Alexandria', 'OQMD'}
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formatted_df = format_dataframe(initial_df[
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initial_df['training_set'].apply(lambda x: 'MP-20' in parse_training_set(x)) |
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initial_df['model_name'].isin(ALWAYS_SHOW_MODELS)
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], show_percentage=True, selected_groups=list(METRIC_GROUPS.keys()), compact_view=True)
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leaderboard_table = gr.Dataframe(
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